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DREAM-High

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  • Home
  • DREAM-High Course
  • Enrichment Activities
  • About DREAM-High
  • Contact Us
  • DREAM-High Summer 2024
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Cancer cell lines are a Model for human cancer

A cancer cell line comprises cancer cells that keep dividing and growing over time, under certain  conditions in a laboratory. Cancer cell lines are used in research to study the biology of cancer and to test cancer treatments. 

Breast Cancer Cell Lines

In this module, we examine data from experiments with human cancer cell lines from the Physical Sciences in Oncology (PS-ON) Cell Line Characterization Study.

The PS-ON Study includes imaging- and microscopy-based measurements  of physical properties of the cells, such as morphology (shape) and motility (movement). We will calculate differential gene expression between two breast cancer cell lines (MDA-MB-231 and T-47D) that migrate at different speeds. 

Mesenchymal mode of MDA-MB-231 cell migration

Highly migratory MDA-MB-231 cells move across a chemo-attractant gradient by forming protrusions, outward  extensions of the cell membrane that sense the cell environment and make dynamic adhesions to extracellular matrix and other cells.  

Breast Cancer Cell Lines Activity

 For most genes, there is little change in expression between the “fast”  and “slow” cell lines. But there are many for which expression is higher in one cell line over the other. These genes are those that appear in  the tails of the histogram. The genes with large  differential expression are the most interesting to consider because they may provide us with clues as to why the cell lines behave so  differently. Let’s find them! 

Get the published activity.

Enriched Biological processes

To test our hypothesis that the genes most differentially expressed  are those that contribute to properties associated with cancer,  we’ll perform a Gene Ontology analysis of the genes with highest differential expression in the fast versus slow cell line.

The Gene Ontology (GO) Knowledgebase is an easy to use web  server for inputting a list of genes and telling us if the genes  collectively contribute to particular biological processes versus sets  of randomly selected genes. Get the published activity.

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